A preliminary evaluation of two strategies for raising indoor air temperature setpoints in office buildings

Roussac, A. Craig; Steinfeld, Jesse; Dear, Richard de

doi:10.1080/00038628.2011.582390

Cited by 49 publications

(14 citation statements)

References 1 publication

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“…This is comparable to studies of Sydney, Melbourne and Brisbane offices where an average of 6% power use was saved for every 1°C increase in indoor temperature in summer (Roussac et al 2011). Another study found an average thermal comfort level of 26.4°C for two Indian cities, which is warmer than the current Indian standard upper limit of 26°C (Indraganti et al 2014).…”

Section: Thermal Comfort Hvac and Bmssupporting

confidence: 70%

Optimising energy use in an existing commercial building: a case study of Australia’s Reef HQ Aquarium

Thyer

Thomas

McClintock³

et al. 2017

Energy Efficiency

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Reef HQ Aquarium is a major tourism attraction in tropical North Queensland, Australia. In 8 years, a 50% reduction in grid electricity was achieved through targeted infrastructure investment, whilst growing the business. Initially, grid energy consumption was 2438 MWh per annum, with 490-kW peak demand and energy intensity of 1625 MJ m −2 year −1 used on typical equipment such as HVAC (heating, ventilation and air conditioning), machinery, lighting and catering equipment. Savings of 13% were achieved in the first year by increasing indoor air temperature set-points by 1.5°C with no significant costs or impacts on occupant thermal comfort or worker productivity. Peak demand was decreased by 46% by upgrading the computerised building management system (BMS), HVAC, machinery and lighting; and by installing a 206-kW photovoltaic (PV) solar power system. This case study illustrates that (a) significant energy use reductions are possible at low cost; (b) capital investment in energy-efficient infrastructure can have short payback times and high direct and indirect benefits, particularly where equipment is ending its life. This study is unique as it examines how a commercial building with integrated chilled water thermal energy storage (TES) and a 3.2-ML chilled seawater aquarium system can be controlled by a BMS to optimise solar power to manage peak energy demand and also increase the utilisation of generated PV power in the absence of electrical battery storage. An interesting building is used to demonstrate efficiency methods with elements such as HVAC and lighting which usually consume over half commercial buildings' energy use.

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Section: Thermal Comfort Hvac and Bmssupporting

confidence: 70%

Optimising energy use in an existing commercial building: a case study of Australia’s Reef HQ Aquarium

Thyer

Thomas

McClintock³

et al. 2017

Energy Efficiency

View full text Add to dashboard Cite

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“…Many scholars have researched the relationship between temperature and energy saving. According to the results of Roussac's research [33], the one degree temperature setpoint increase produced a 6% reduction in daily HVAC electricity consumption. Case 2 was using the recommend value about optimized PMV, and the gross electricity consumption was 26.84 kWh during three hours.…”

Section: Discussionmentioning

confidence: 99%

A Visual and Persuasive Energy Conservation System Based on BIM and IoT Technology

Liu

2019

Sensors

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Comfort level in the human body is an index that is always difficult to evaluate in a general and objective manner. Therefore, building owners and managers have been known to adjust environmental physical parameters such as temperature, humidity, and air quality based on people’s subjective sensations to yield satisfactory feelings of comfort. Furthermore, electricity consumption could be reduced by minimizing unnecessary use of heating and cooling equipment based on precise knowledge of comfort levels in interior spaces. To achieve the aforementioned objectives, this study undertook the following four tasks: first, providing visualization and smart suggestion functions to assist building managers and users in analyzing and developing plans based on the demands of space usage and electrical equipment; second, using Internet of Things technology to minimize the difference between real situations and those simulated in building information modeling (BIM); third, accurately evaluating interior environment comfort levels and improving equipment operating efficiency based on quantized comfort levels; and fourth, establishing a persuasive workflow for building energy saving systems. Through developing this system, COZyBIM will help to enhance the satisfactions of comfort level in interior space and operate energy consuming equipment efficiently, to reach the target of energy saving.

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“…Heating and cooling are provided by fan-coil units, and energy is generated by a natural gas boiler and a chiller powered by electricity. Heating and cooling set point temperatures have been defined following currently adopted industry standards in Australian property market [26].…”

Section: Methodsmentioning

confidence: 99%

Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods

González

Fiorito

2015

Buildings

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Abstract:Integrating daylight and energy performance with optimization into the design process has always been a challenge for designers. Most of the building environmental performance simulation tools require a considerable amount of time and iterations for achieving accurate results. Moreover the combination of daylight and energy performances has always been an issue, as different software packages are needed to perform detailed calculations. A simplified method to overcome both issues using recent advances in software integration is explored here. As a case study; the optimization of external shadings in a typical office space in Australia is presented. Results are compared against common solutions adopted as industry standard practices. Visual comfort and energy efficiency are analysed in an integrated approach. The DIVA (Design, Iterate, Validate and Adapt) plug-in for Rhinoceros/Grasshopper software is used as the main tool, given its ability to effectively calculate daylight metrics (using the Radiance/Daysim engine) and energy consumption (using the EnergyPlus engine). The optimization process is carried out parametrically controlling the shadings' geometries. Genetic Algorithms (GA) embedded in the evolutionary solver Galapagos are adopted in order to achieve close to optimum results by controlling iteration parameters. The optimized result, in comparison with conventional design techniques, reveals significant enhancement of comfort levels and energy efficiency. Benefits and drawbacks of the proposed strategy are then discussed. OPEN ACCESSBuildings 2015, 5 561

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A preliminary evaluation of two strategies for raising indoor air temperature setpoints in office buildings

Cited by 49 publications

References 1 publication

Optimising energy use in an existing commercial building: a case study of Australia’s Reef HQ Aquarium

Optimising energy use in an existing commercial building: a case study of Australia’s Reef HQ Aquarium

A Visual and Persuasive Energy Conservation System Based on BIM and IoT Technology

Daylight Design of Office Buildings: Optimisation of External Solar Shadings by Using Combined Simulation Methods

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